Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Aalborg University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2018Sensitivity and Identifiability Study for Uncertainty Analysis of Material Model for Concrete Fatiguecitations

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Sørensen, John Dalsgaard
1 / 28 shared
Mankar, Amol
1 / 1 shared
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2018

Co-Authors (by relevance)

  • Sørensen, John Dalsgaard
  • Mankar, Amol
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document

Sensitivity and Identifiability Study for Uncertainty Analysis of Material Model for Concrete Fatigue

  • Rastayesh, Sima
  • Sørensen, John Dalsgaard
  • Mankar, Amol
Abstract

Concrete is a widely used construction material; however, the understanding of fatigue failure in cementitious material is lacking when compared to ferrous materials. The design life of concrete structures is also evaluated using PM rule of linear damage accumulation where the fatigue strength is represented by a combination of Goodman Diagrams & Wöhler Curves. Concrete is a heterogeneous material, which is inherently full of flaws, and has a considerable scatter in fatigue test data for same test conditions. Therefore, it is desirable to introduce probabilistic concepts to ensure adequate fatigue resistance of concrete structures. This paper attempts to identify the important parameter uncertainties associated with concrete fatigue material models for uniaxial compression based on a large data set of concrete fatigue tests obtained from literature. Parameter estimation from a given dataset of experiments can be done in different ways, and in addition sensitivity and identifiability analyses can be used to search for a unique set of parameters along with their uncertainties.

Topics
  • impedance spectroscopy
  • experiment
  • strength
  • fatigue